Data Science / AI-ML Engineer

Role Overview: You are a talented IIT graduate with a strong foundation in Machine Learning, Artificial Intelligence, and Data Science. Your role involves developing intelligent solutions, building predictive models, and leveraging data to solve complex business challenges. Key Responsibilities: - Develop, train, and evaluate Machine Learning models. - Perform data collection, cleansing, transformation, and analysis. - Build predictive and statistical models to solve business problems. - Work on AI, Deep Learning, NLP, and Generative AI use cases. - Analyze large datasets and derive actionable insights. - Collaborate with engineering teams to deploy ML models into production. - Research and implement emerging AI technologies and best practices. Qualification Required: - Strong foundation in Data Structures, Algorithms, Probability, Statistics, and Linear Algebra. - Proficiency in Python and SQL. - Knowledge of Machine Learning algorithms and model evaluation techniques. - Understanding of Data Analysis and Visualization concepts. - Familiarity with Pandas, NumPy, Scikit-learn, and Jupyter Notebook. - Strong analytical and problem-solving skills. Additional Details: The company is looking for individuals with exposure to Deep Learning frameworks such as TensorFlow or PyTorch, knowledge of Generative AI, LLMs, NLP, or Computer Vision, experience with AI/ML academic projects, research papers, or internships, and familiarity with cloud platforms such as AWS, Azure, or GCP. Soft Skills: - Excellent communication and presentation skills. - Strong research mindset and willingness to learn. - Ability to work independently and collaboratively in a fast-paced environment. Role Overview: You are a talented IIT graduate with a strong foundation in Machine Learning, Artificial Intelligence, and Data Science. Your role involves developing intelligent solutions, building predictive models, and leveraging data to solve complex business challenges. Key Responsibilities: - Develop, train, and evaluate Machine Learning models. - Perform data collection, cleansing, transformation, and analysis. - Build predictive and statistical models to solve business problems. - Work on AI, Deep Learning, NLP, and Generative AI use cases. - Analyze large datasets and derive actionable insights. - Collaborate with engineering teams to deploy ML models into production. - Research and implement emerging AI technologies and best practices. Qualification Required: - Strong foundation in Data Structures, Algorithms, Probability, Statistics, and Linear Algebra. - Proficiency in Python and SQL. - Knowledge of Machine Learning algorithms and model evaluation techniques. - Understanding of Data Analysis and Visualization concepts. - Familiarity with Pandas, NumPy, Scikit-learn, and Jupyter Notebook. - Strong analytical and problem-solving skills. Additional Details: The company is looking for individuals with exposure to Deep Learning frameworks such as TensorFlow or PyTorch, knowledge of Generative AI, LLMs, NLP, or Computer Vision, experience with AI/ML academic projects, research papers, or internships, and familiarity with cloud platforms such as AWS, Azure, or GCP. Soft Skills: - Excellent communication and presentation skills. - Strong research mindset and willingness to learn. - Ability to work independently and collaboratively in a fast-paced environment.